Prediction

{
  "id": "75pamcdbkupkj2mueyccx6auqe",
  "model": "lucataco/realvisxl2-lora-inference",
  "version": "9b5a0c77cd4f6bdb53a2c3d05b4774df02876d21dd7d37f13f518c03e996945b",
  "input": {
    "apply_watermark": true,
    "guidance_scale": 7.5,
    "height": 1024,
    "high_noise_frac": 0.8,
    "lora_scale": 0.6,
    "lora_url": "https://replicate.delivery/pbxt/L5zHkM0OHX4ZF1Ipnaiok6GHGvrRgZHBqbz2JjtBAtWz8mdE/trained_model.tar",
    "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
    "num_inference_steps": 50,
    "num_outputs": 1,
    "prompt": "A photo of TOK",
    "prompt_strength": 0.8,
    "refine": "no_refiner",
    "scheduler": "DPMSolverMultistep",
    "seed": 6995,
    "width": 1024
  },
  "logs": "LORA\nLoading ssd txt2img pipeline...\nLoading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]\nLoading pipeline components...:  29%|██▊       | 2/7 [00:00<00:00, 18.02it/s]\nLoading pipeline components...:  57%|█████▋    | 4/7 [00:00<00:00, 12.25it/s]\nLoading pipeline components...:  86%|████████▌ | 6/7 [00:00<00:00,  6.93it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:01<00:00,  5.83it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:01<00:00,  6.97it/s]\nLoading ssd lora weights...\nLoading fine-tuned model\nDoes not have Unet. Assume we are using LoRA\nLoading Unet LoRA\nUsing seed: 6995\nPrompt: A photo of <s0><s1>\ntxt2img mode\n  0%|          | 0/50 [00:00<?, ?it/s]/root/.pyenv/versions/3.11.6/lib/python3.11/site-packages/diffusers/models/attention_processor.py:1815: FutureWarning: `LoRAAttnProcessor2_0` is deprecated and will be removed in version 0.26.0. Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights`\ndeprecate(\n  2%|▏         | 1/50 [00:00<00:18,  2.59it/s]\n  4%|▍         | 2/50 [00:00<00:13,  3.65it/s]\n  6%|▌         | 3/50 [00:00<00:12,  3.68it/s]\n  8%|▊         | 4/50 [00:01<00:12,  3.70it/s]\n 10%|█         | 5/50 [00:01<00:12,  3.70it/s]\n 12%|█▏        | 6/50 [00:01<00:11,  3.70it/s]\n 14%|█▍        | 7/50 [00:01<00:11,  3.71it/s]\n 16%|█▌        | 8/50 [00:02<00:11,  3.71it/s]\n 18%|█▊        | 9/50 [00:02<00:11,  3.71it/s]\n 20%|██        | 10/50 [00:02<00:10,  3.70it/s]\n 22%|██▏       | 11/50 [00:03<00:10,  3.71it/s]\n 24%|██▍       | 12/50 [00:03<00:10,  3.70it/s]\n 26%|██▌       | 13/50 [00:03<00:09,  3.71it/s]\n 28%|██▊       | 14/50 [00:03<00:09,  3.71it/s]\n 30%|███       | 15/50 [00:04<00:09,  3.71it/s]\n 32%|███▏      | 16/50 [00:04<00:09,  3.70it/s]\n 34%|███▍      | 17/50 [00:04<00:08,  3.70it/s]\n 36%|███▌      | 18/50 [00:04<00:08,  3.70it/s]\n 38%|███▊      | 19/50 [00:05<00:08,  3.70it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.70it/s]\n 42%|████▏     | 21/50 [00:05<00:07,  3.70it/s]\n 44%|████▍     | 22/50 [00:05<00:07,  3.70it/s]\n 46%|████▌     | 23/50 [00:06<00:07,  3.70it/s]\n 48%|████▊     | 24/50 [00:06<00:07,  3.70it/s]\n 50%|█████     | 25/50 [00:06<00:06,  3.70it/s]\n 52%|█████▏    | 26/50 [00:07<00:06,  3.70it/s]\n 54%|█████▍    | 27/50 [00:07<00:06,  3.70it/s]\n 56%|█████▌    | 28/50 [00:07<00:05,  3.70it/s]\n 58%|█████▊    | 29/50 [00:07<00:05,  3.70it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.70it/s]\n 62%|██████▏   | 31/50 [00:08<00:05,  3.70it/s]\n 64%|██████▍   | 32/50 [00:08<00:04,  3.70it/s]\n 66%|██████▌   | 33/50 [00:08<00:04,  3.70it/s]\n 68%|██████▊   | 34/50 [00:09<00:04,  3.70it/s]\n 70%|███████   | 35/50 [00:09<00:04,  3.69it/s]\n 72%|███████▏  | 36/50 [00:09<00:03,  3.69it/s]\n 74%|███████▍  | 37/50 [00:10<00:03,  3.69it/s]\n 76%|███████▌  | 38/50 [00:10<00:03,  3.69it/s]\n 78%|███████▊  | 39/50 [00:10<00:02,  3.69it/s]\n 80%|████████  | 40/50 [00:10<00:02,  3.69it/s]\n 82%|████████▏ | 41/50 [00:11<00:02,  3.69it/s]\n 84%|████████▍ | 42/50 [00:11<00:02,  3.69it/s]\n 86%|████████▌ | 43/50 [00:11<00:01,  3.69it/s]\n 88%|████████▊ | 44/50 [00:11<00:01,  3.69it/s]\n 90%|█████████ | 45/50 [00:12<00:01,  3.69it/s]\n 92%|█████████▏| 46/50 [00:12<00:01,  3.68it/s]\n 94%|█████████▍| 47/50 [00:12<00:00,  3.68it/s]\n 96%|█████████▌| 48/50 [00:13<00:00,  3.68it/s]\n 98%|█████████▊| 49/50 [00:13<00:00,  3.68it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.68it/s]\n100%|██████████| 50/50 [00:13<00:00,  3.69it/s]",
  "output": [
    "https://replicate.delivery/pbxt/u3l5edtwjTziNio7SouYF3SEoyT3lfVwXSYSAQDrV6pc2b2RA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-11-08T22:26:49.691869Z",
  "started_at": "2023-11-08T22:28:20.20477Z",
  "completed_at": "2023-11-08T22:28:45.440078Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/75pamcdbkupkj2mueyccx6auqe/cancel",
    "get": "https://api.replicate.com/v1/predictions/75pamcdbkupkj2mueyccx6auqe"
  },
  "metrics": {
    "predict_time": 25.235308,
    "total_time": 115.748209
  }
}